Supermodular interference suppression game for multistatic MIMO radar networks and multiple jammers with multiple targets
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000652.pdf
Reference41 articles.
1. Bachmann DJ, Evans RJ, Moran B, 2011. Game theoretic analysis of adaptive radar jamming. IEEE Trans Aerosp Electron Syst, 47(2):1081–1100. https://doi.org/10.1109/TAES.2011.5751244
2. Bogdanovic N, Driessen H, Yarovoy AG, 2018. Target selection for tracking in multifunction radar networks: Nash and correlated equilibria. IEEE Trans Aerosp Electron Syst, 54(5):2448–2462. https://doi.org/10.1109/TAES.2018.2819798
3. Chavali P, Nehorai A, 2013. Concurrent particle filtering and data association using game theory for tracking multiple maneuvering targets. IEEE Trans Signal Process, 61(20):4934–4948. https://doi.org/10.1109/TSP.2013.2272923
4. Chen HW, Ta SY, Sun B, 2015. Cooperative game approach to power allocation for target tracking in distributed MIMO radar sensor networks. IEEE Sens J, 15(10):5423–5432. https://doi.org/10.1109/JSEN.2015.2431261
5. Chernyak VS, 1998. Fundamentals of Multisite Radar Systems: Multistatic Radars and Multiradar Systems. Routledge, London, UK.
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